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SUMMARY:Extrinsic Data Analysis on Object Spaces - Mihaela Pricop-Jeckstad
 t (University Politehnica of Bucharest)
DTSTART:20250507T133000Z
DTEND:20250507T140000Z
UID:TALK230467@talks.cam.ac.uk
DESCRIPTION:\nThis is work on complex data\, jointly with Vic Patragenaru 
 and Robert L. Paige. The talk aims to develop a methodology for object ori
 ented data analysis based on chord distance on manifolds. Previous work sh
 owed that the resulting extrinsic statistical techniques for independent s
 amples of two-dimensional image data have greater statistical power than c
 omparable statistical techniques which ignore directional information. In 
 this work we develop a novel matched pairs test for two-dimensional orient
 ed projective shapes and apply it on matched sets of images. Our novel mat
 ched pairs test\, with optimally paired images\, is highly statistically s
 ignificant while the unpaired test fails to find evidence for a statistica
 l effect.\n&nbsp\;\nAuthors\n&nbsp\;\nVic Patrangenaru\nFSU\, USA\nvic@sta
 t.fsu.edu\n&nbsp\;\nRobert Paige\nMissouri University of Science and Techn
 ology\, USA\npaigero@mst.edu\n&nbsp\;\n&nbsp\;\nMihaela Pricop-Jeckstadt (
 speaker)\nThe National University for Science and Technology POLITEHNICA o
 f Bucharest\, Romania\nMihaela.Pricop@upb.ro\n
LOCATION:Seminar Room 1\, Newton Institute
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